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Title: The Future of Cybersecurity: Moksha Investigates Hybrid ML Models for Critical Infrastructure

United States, 11th Feb 2025 - The modern world today is interconnected, and cyber-based threats are evolving at a fast pace, making traditional mechanisms for security ineffective. It is Moksha Shah, an Information Technology-embedded researcher, who works day and night to ameliorate the situation. Cocking a keen eye at the crossroads of Cybersecurity and AI, Moksha investigates Hybrid Machine Learning (ML) models, which constitute the latest big thing employing diverse AI methodologies to create an intelligent, more dynamic Cybersecurity system. Moksha Shah is a Java developer with 5+ years of experience specializing in API development, backend solutions, and cybersecurity. She has designed and implemented RESTful and SOAP APIs using Java and frameworks like Spring Boot and JAX-RS. Moksha has extensive experience integrating APIs with databases like MySQL, SQL Server, OracleDB, and MongoDB. She is proficient in developing responsive web applications using JavaScript, HTML5, CSS3, Angular.js, and JSTL. Additionally, Moksha is proficient in Python, applying it in the fields of cybersecurity, AI and Machine Learning. She has developed security solutions, automated tasks, and built AI models for threat detection and response. She is adept at using agile methodologies, including TDD and SCRUM, and has a solid understanding of building scalable, efficient, and secure web services. Moksha is also proficient in API testing and documentation tools such as Postman and Swagger, and has a strong background in backend technologies and cloud solutions.Moksha's research endeavor revolves around the protection of critical systems, including power grids, banks, healthcare service providers, and government networks. This is so because these Critical are paramount to society, and t...


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